Optimal power flow using gravitational search algorithm
- 1. Department of Electrical Education, Technical Education Faculty, Duzce University, Duzce (Turkey)
- 2. Department of Electrical Technology, Gazi Vocational College, Gazi University, Ankara (Turkey)
- 3. Department of Electrical Engineering, Engineering Faculty, Kocaeli University, Kocaeli (Turkey)
Description
Highlights: ► Gravitational search algorithm (GSA) has been proposed to find the solution for OPF. ► We determine optimal settings of control variables of OPF problem. ► The performance of the GSA has been sought and tested on the IEEE 30-bus and 57-bus test systems. ► The comparison verifies the influence of the proposed GSA approach over stochastic techniques. - Abstract: In this paper, gravitational search algorithm (GSA) is proposed to find the optimal solution for optimal power flow (OPF) problem in a power system. The proposed approach is applied to determine the optimal settings of control variables of the OPF problem. The performance of the proposed approach examined and tested on the standard IEEE 30-bus and 57-bus test systems with different objective functions and is compared to other heuristic methods reported in the literature recently. Simulation results obtained from the proposed GSA approach indicate that GSA provides effective and robust high-quality solution for the OPF problem.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.enconman.2012.02.024Additional details
Identifiers
- DOI
- 10.1016/j.enconman.2012.02.024;
- PII
- S0196-8904(12)00095-7;
Publishing Information
- Journal Title
- Energy Conversion and Management
- Journal Volume
- 59
- Journal Page Range
- p. 86-95
- ISSN
- 0196-8904
- CODEN
- ECMADL
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 43081936
- Subject category
- S97: MATHEMATICAL METHODS AND COMPUTING;
- Descriptors DEI
- ALGORITHMS; COMPARATIVE EVALUATIONS; COMPUTERIZED SIMULATION; CONTROL THEORY; FUNCTIONS; MATHEMATICAL SOLUTIONS; OPTIMIZATION; PERFORMANCE; POWER SYSTEMS; STOCHASTIC PROCESSES
- Descriptors DEC
- ENERGY SYSTEMS; EVALUATION; MATHEMATICAL LOGIC; SIMULATION
Optional Information
- Copyright
- Copyright (c) 2012 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.